What’s AI? What’s machine learning? What’s deep learning? This week’s episode is a crash course on machine learning for medics.
Dr Chris Lovejoy is a doctor, data scientist and content creator. He runs some exceptional ‘machine learning for medics’ day courses in London which is where I met him — and he also puts out loads of great content on his YouTube channel and newsletter. He also recently published a systematic review in the BMJ titled: AI Versus Clinicians: a Systematic Review.
If you’re someone who has heard of concepts in AI and machine learning, but don’t necessarily understand them — Chris is the very best person I could think of to help explain them.
I sat down with Chris to go from zero -> hero in machine learning as it relates to healthcare. Hopefully you'll get a better idea of what some of the buzzwords and key ideas are, how you can interpret a medical machine learning paper — and where you can go to keep your finger on the pulse and to learn more.
Resources and Links Mentioned
Luke Oakden-Rayner's post explaining metrics used to measure machine learning algorithm performance: https://lukeoakdenrayner.wordpress.com/2017/12/06/do-machines-actually-beat-doctors-roc-curves-and-performance-metrics/
Eric Topol: Twitter and book
Chris's BMJ Paper: https://www.bmj.com/content/368/bmj.m689
Doctor Penguin Newsletter: http://doctorpenguin.com/about
Andrew Ng's Machine Learning Course: https://www.coursera.org/learn/machine-learning
AI for Medicine Coursera: https://www.coursera.org/specializations/ai-for-medicine